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PyBNesian: An extensible python package for Bayesian networks
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DOI：10.1016/j.neucom.2022.06.112.png)
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Abstract
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Bayesian networks are probabilistic graphical models that are commonly used to represent the uncertainty in data. The PyBNesian package provides an implementation for many different types of Bayesian network models and some variants, such as conditional Bayesian networks and dynamic Bayesian networks. In addition, the package can be easily extended with new components that can interoperate with those already implemented. Furthermore, the package also implements other related models such as kernel density estimation using OpenCL 1.2+ to enable GPU acceleration. PyBNesian is totally free and open-source under the MIT license. (c) 2022 The Author(s). Published by Elsevier B.V.
Keywords:
Bayesian networks
Kernel density estimation
Dynamic models
Conditional independence
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